Passage Reranking

Passage reranking refines initial search results by re-ordering retrieved passages to improve relevance to a given query. Current research focuses on leveraging large language models (LLMs) for this task, exploring efficient architectures like listwise ranking methods and techniques to mitigate LLMs' inherent inconsistencies and biases. This area is significant because it directly impacts the effectiveness of information retrieval systems, improving search accuracy and efficiency across various applications, from question answering to knowledge-intensive tasks.